Research Area
Year Published

116 Results

November 3, 2018

The Effect of Computer-Generated Descriptions on Photo-Sharing Experiences of People with Visual Impairments

Conference on Computer-Supported Cooperative Work and Social Computing (CSCW)

Like sighted people, visually impaired people want to share photographs on social networking services, but find it difficult to identify and select photos from their albums. We aimed to address this problem by incorporating state-of-the-art computer-generated descriptions into Facebook’s photo-sharing feature.

By: Yuhang Zhao, Shaomei Wu, Lindsay Reynolds, Shiri Azenkot

October 9, 2018

Trajectory Optimization of Solar-Powered High-Altitude Long Endurance Aircraft

Solar-powered high-altitude long endurance aircraft that harvest and store solar energy can fly indefinitely if they are able to close a 24-hour energy cycle. Perpetual endurance is possible when energy consumption does not exceed energy storage.

By: Jack Marriott, Birce Tezel, Zhang Liu, Nicolas Stier

August 19, 2018

A real-time framework for detecting efficiency regressions in a globally distributed codebase

Knowledge Discovery in Databases (KDD)

This paper describes the end-to-end regression detection system designed and used at Facebook. The main detection algorithm is based on sequential statistics supplemented by signal processing transformations, and the performance of the algorithm was assessed with a mixture of online and offline tests across different use cases.

By: Martin Valdez-Vivas, Caner Gocmen, Andrii Korotkov, Ethan Fang, Kapil Goenka, Sherry Chen

August 16, 2018

Constrained Bayesian Optimization with Noisy Experiments

Bayesian Analysis 2018

We derive an expression for expected improvement under greedy batch optimization with noisy observations and noisy constraints, and develop a quasi-Monte Carlo approximation that allows it to be efficiently optimized.

By: Ben Letham, Brian Karrer, Guilherme Ottoni, Eytan Bakshy

July 11, 2018

Learning Diffusion using Hyperparameters

International Conference on Machine Learning (ICML)

In this paper we advocate for a hyperparametric approach to learn diffusion in the independent cascade (IC) model. The sample complexity of this model is a function of the number of edges in the network and consequently learning becomes infeasible when the network is large.

By: Dimitris Kalimeris, Yaron Singer, Karthik Subbian, Udi Weinsberg

June 28, 2018

Hardware Remediation At Scale

International Conference on Dependable Systems and Networks (DSN)

Large scale services have automated hardware remediation to maintain the infrastructure availability at a healthy level. In this paper, we share the current remediation flow at Facebook, and how it is being monitored.

By: Fan (Fred) Lin, Matt Beadon, Harish Dattatraya Dixit, Gautham Vunnam, Amol Desai, Sriram Sankar

June 25, 2018

Do Diffusion Protocols Govern Cascade Growth?

International AAAI Conference on Web and Social Media (ICWSM)

Large cascades can develop in online social networks as people share information with one another. Though simple reshare cascades have been studied extensively, the full range of cascading behaviors on social media is much more diverse. Here we study how diffusion protocols, or the social exchanges that enable information transmission, affect cascade growth, analogous to the way communication protocols define how information is transmitted from one point to another.

By: Justin Cheng, Jon Kleinberg, Jure Leskovec, David Liben-Nowell, Bogdan State, Karthik Subbian, Lada Adamic

June 25, 2018

“I’m Never Happy with What I Write”: Challenges and Strategies of People with Dyslexia on Social Media

International Conference on Web and Social Media

This work studies the experiences, challenges, and strategies of people with dyslexia when using social media. We interviewed 11 people with dyslexia to understand their general experiences with reading and writing content on Facebook. The interview study findings highlight the challenges they face when writing content on Social Networking Sites (SNSs), and their strategies for mitigating these challenges.

By: Lindsay Reynolds, Shaomei Wu

June 3, 2018

Interaction Content Aware Network Embedding via Co-embedding of Nodes and Edges

Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

Network embedding has been increasingly employed in network analysis as it can learn node representations that encode the network structure resulting from node interactions. In this paper, besides the network structure, the interaction content within which each interaction arises is also embedded because it reveals interaction preferences of the two nodes involved, and interaction preferences are essential characteristics that nodes expose in the network environment.

By: Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu

April 21, 2018

A Face Recognition Application for People with Visual Impairments: Understanding Use Beyond the Lab

Conference on Human Factors in Computing Systems (CHI)

We present Accessibility Bot, a research prototype bot on Facebook Messenger, which leverages state-of-the-art computer vision algorithms and the existing set of tagged photos of a user’s friends on Facebook to help people with visually impairments recognize their friends.

By: Yuhang Zhao, Shaomei Wu, Lindsay Reynolds, Shiri Azenkot